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matplotlib.axes.Axes.bar
- Axes.- bar(x, height, width=0.8, bottom=None, *, align='center', data=None, **kwargs)[source]
- 
    Make a bar plot. The bars are positioned at x with the given alignment. Their dimensions are given by height and width. The vertical baseline is bottom (default 0). Many parameters can take either a single value applying to all bars or a sequence of values, one for each bar. Parameters: - xfloat or array-like
- 
           The x coordinates of the bars. See also align for the alignment of the bars to the coordinates. 
- heightfloat or array-like
- 
           The height(s) of the bars. 
- widthfloat or array-like, default: 0.8
- 
           The width(s) of the bars. 
- bottomfloat or array-like, default: 0
- 
           The y coordinate(s) of the bars bases. 
- align{'center', 'edge'}, default: 'center'
- 
           Alignment of the bars to the x coordinates: - 'center': Center the base on the x positions.
- 'edge': Align the left edges of the bars with the x positions.
 To align the bars on the right edge pass a negative width and align='edge'.
 Returns: - BarContainer
- 
           Container with all the bars and optionally errorbars. 
 Other Parameters: - colorcolor or list of color, optional
- 
           The colors of the bar faces. 
- edgecolorcolor or list of color, optional
- 
           The colors of the bar edges. 
- linewidthfloat or array-like, optional
- 
           Width of the bar edge(s). If 0, don't draw edges. 
- tick_labelstr or list of str, optional
- 
           The tick labels of the bars. Default: None (Use default numeric labels.) 
- xerr, yerrfloat or array-like of shape(N,) or shape(2, N), optional
- 
           If not None, add horizontal / vertical errorbars to the bar tips. The values are +/- sizes relative to the data: - scalar: symmetric +/- values for all bars
- shape(N,): symmetric +/- values for each bar
- shape(2, N): Separate - and + values for each bar. First row contains the lower errors, the second row contains the upper errors.
- None: No errorbar. (Default)
 See Different ways of specifying error bars for an example on the usage of xerrandyerr.
- ecolorcolor or list of color, default: 'black'
- 
           The line color of the errorbars. 
- 
           capsizefloat, default: rcParams["errorbar.capsize"](default:0.0)
- 
           The length of the error bar caps in points. 
- error_kwdict, optional
- 
           Dictionary of kwargs to be passed to the errorbarmethod. Values of ecolor or capsize defined here take precedence over the independent kwargs.
- logbool, default: False
- 
           If True, set the y-axis to be log scale. 
- 
           **kwargsRectangleproperties
- 
           Property Description agg_filtera filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alphascalar or None animatedbool antialiasedor aaunknown capstyleCapStyleor {'butt', 'projecting', 'round'}clip_boxBboxclip_onbool clip_pathPatch or (Path, Transform) or None colorcolor containsunknown edgecoloror eccolor or None or 'auto' facecoloror fccolor or None figureFigurefillbool gidstr hatch{'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} in_layoutbool joinstyleJoinStyleor {'miter', 'round', 'bevel'}labelobject linestyleor ls{'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidthor lwfloat or None path_effectsAbstractPathEffectpickerNone or bool or float or callable rasterizedbool sketch_params(scale: float, length: float, randomness: float) snapbool or None transformTransformurlstr visiblebool zorderfloat 
 See also - 
       barh
- Plot a horizontal bar plot.
 NotesStacked bars can be achieved by passing individual bottom values per bar. See Stacked bar chart. Note In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, every other argument can also be string s, which is interpreted asdata[s](unless this raises an exception).Objects passed as data must support item access ( data[s]) and membership test (s in data).
Examples using matplotlib.axes.Axes.bar
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
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 https://matplotlib.org/3.4.3/api/_as_gen/matplotlib.axes.Axes.bar.html